# kzf666-byte/vggt-da3-notes

> Hands-on notes on running VGGT and Depth Anything 3 on an 8 GB laptop GPU: model outputs, depth comparison, and licensing.

- Magnitude: 0.1 out of 10 — Steady
- Stars: 73 total · +0 stars today, ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Science & research · Language: Python · Created: 2026-09-25 · Last push: 2026-09-25
- GitHub: https://github.com/kzf666-byte/vggt-da3-notes · Page: https://gitnova.dev/en/r/kzf666-byte/vggt-da3-notes

## Useful for

- Understand which fields VGGT returns and what each means
- Compare depth scale between VGGT and DA3 on your own photos
- Estimate VRAM requirements before running the models

## Why it’s here

- The repository is 6 days old and already has 73 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #188.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 4
- Issues and pull requests: 0
- Watchers: 3
- Average over the last week: 10 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 12 days (oldest → newest, today is partial)

2026-09-20 … 2026-10-01: 0, 0, 0, 0, 0, 2, 32, 28, 11, 0, 0, 0

## Spotted in now

- Top new repositories this week: #188

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-01 03:34 UTC, updated every 30 minutes.